Case Studies

Excessive adhesive may remain on the chip or overflow on the circuit board and cause the chip to tilt, affecting stability of the whole semiconductor package.

For repetitive manual tasks such as in this case, an automated visual inspection can help identify defective products and improve workforce efficiency.

SolVision’s AI and OCR technology enhances Tire Identification Number inspection, improving accuracy, efficiency, and quality control in tire production.

As semiconductor manufacturing becomes more sophisticated, the process of creating lead frames needs to improve in accuracy and yield.

Small, spiral-surfaced metal parts can be inspected using SolVision’s Instance Segmentation tool to learn the different types of cut marks or collision faults from sample images, then building an AI model to recognize these subtle defects.

SolVision optimizes PCB assembly inspection with AI, enhancing accuracy, reducing errors, and boosting efficiency with our rapid learning AI vision system.

Overcoming traditional AOI limitations, Solomon’s SolVision quickly performs OCR without being affected by background or lighting conditions, complexity, or appearance of the serial number.

SolVision’s AI technology optimizes yarn inspection by accurately detecting various yarn defects quickly and efficiently, ensuring enhanced quality control.

SolVision enhances beer bottle inspection by detecting stains and mildew in real-time, ensuring precise defect detection on reusable glass bottles.